Towards Transferable Targeted 3D Adversarial Attack in the Physical World

arXiv:2312.09558v2 Announce Type: replace
Abstract: Compared with transferable untargeted attacks, transferable targeted adversarial attacks could specify the misclassification categories of adversarial samples, posing a greater threat to security-critical tasks. In the meanwhile, 3D adversarial samples, due to their potential of multi-view robustness, can more comprehensively identify weaknesses in existing deep learning systems, possessing great application value. However, the field of transferable targeted 3D adversarial attacks remains vacant. The goal of this work is to develop a more effective technique that …

abstract adversarial adversarial attacks arxiv attacks cs.cv identify robustness samples security tasks threat type view world